The data x[n] for n = [0, 1, .., N 1] are observed, with each sample having the conditional PDF p(x[n]|) = ( e(x[n]), x[n] > 0 0, x[n] < 0 The prior PDF p() is p(A) = ( e, > 0 0, < 0 (a) Find the Maximum A Posteriori (MAP) estimator MAP . (b) Now, assume = 1 . Using the Variable transformation, find MAP estimator MAP. please help me with a systematic answer.

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